luozhongze/Physics-MM
Feb 2025 – Jan 2026
5 Months active
Languages Used
CSSHTMLJSONMarkdownPythonBash
Technical Skills
AI Model InteractionAI/MLAI/ML IntegrationAPI DevelopmentAPI IntegrationAPI Key Management
luozhongze
PROFILE
Luozhongze
Zhongze Luo developed and maintained the Physics-MM repository, building a multi-LLM benchmarking platform for evaluating large language models in multimodal physics reasoning tasks. Over five months, Luo established core project scaffolding, integrated APIs for models such as Gemini, Qwen, and GPT, and implemented benchmarking modules using Python and JSON for data handling. He focused on backend development, code organization, and documentation, delivering features that improved onboarding, reproducibility, and maintainability. Luo’s work included rigorous documentation updates, asset management, and repo hygiene, resulting in a robust, well-structured codebase that supports rapid experimentation and collaborative research in AI and machine learning.
Overall Statistics
Feature vs Bugs
87%Features
Repository Contributions
203Total
Bugs
7
Commits
203
Features
46
Lines of code
21,852
Activity Months5
Your Network
489 peopleWork History
January 2026
10 Commits • 2 Features
Jan 1, 2026January 2026 — Focused on documentation quality and onboarding improvements for luozhongze/Physics-MM. Delivered two major documentation initiatives: 1) Multi-Physics Benchmark Documentation for Chinese Physics Reasoning, with author details, benchmark description, and conference paper citations; 2) Project Documentation and Asset Updates, including enhanced README, usage instructions, acknowledgments, latest project information, and added assets. No major bugs fixed this month as work prioritized maintainability, clarity, and research evaluation readiness. Overall, these efforts enhance reproducibility, collaboration, and the business value of the project by improving researcher onboarding and credibility of the benchmark.
10 Commits • 2 Features
Jan 1, 2026January 2026 — Focused on documentation quality and onboarding improvements for luozhongze/Physics-MM. Delivered two major documentation initiatives: 1) Multi-Physics Benchmark Documentation for Chinese Physics Reasoning, with author details, benchmark description, and conference paper citations; 2) Project Documentation and Asset Updates, including enhanced README, usage instructions, acknowledgments, latest project information, and added assets. No major bugs fixed this month as work prioritized maintainability, clarity, and research evaluation readiness. Overall, these efforts enhance reproducibility, collaboration, and the business value of the project by improving researcher onboarding and credibility of the benchmark.
January 2026
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a targeted documentation enhancement for luozhongze/Physics-MM, updating the README to include a direct link to the paper and revised email contact formatting to improve accessibility and external collaboration. No major bugs fixed this month; stability-focused maintenance kept the codebase healthy. Overall, the changes simplify onboarding, accelerate external contributions, and improve project discoverability and information quality.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a targeted documentation enhancement for luozhongze/Physics-MM, updating the README to include a direct link to the paper and revised email contact formatting to improve accessibility and external collaboration. No major bugs fixed this month; stability-focused maintenance kept the codebase healthy. Overall, the changes simplify onboarding, accelerate external contributions, and improve project discoverability and information quality.
September 2025
32 Commits • 7 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on business value and technical achievements in the Physics-MM project. Highlights include establishing a solid project skeleton, ingesting core assets, enabling early development through initial item creation, implementing a core evaluation component, and improving onboarding with comprehensive documentation. Repo cleanup was performed to reduce noise and prepare for scalable feature work.
32 Commits • 7 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on business value and technical achievements in the Physics-MM project. Highlights include establishing a solid project skeleton, ingesting core assets, enabling early development through initial item creation, implementing a core evaluation component, and improving onboarding with comprehensive documentation. Repo cleanup was performed to reduce noise and prepare for scalable feature work.
September 2025
July 2025
21 Commits • 2 Features
Jul 1, 2025Month: 2025-07 — luozhongze/Physics-MM focused on elevating documentation quality to improve onboarding, reduce support overhead, and streamline contributor workflows. Delivery centered on extensive README improvements across two documentation batches, totaling 21 commits, with no reported critical bugs fixed this month. The work enhances developer experience and maintainability while aligning with project standards and best practices.
July 2025
21 Commits • 2 Features
Jul 1, 2025Month: 2025-07 — luozhongze/Physics-MM focused on elevating documentation quality to improve onboarding, reduce support overhead, and streamline contributor workflows. Delivery centered on extensive README improvements across two documentation batches, totaling 21 commits, with no reported critical bugs fixed this month. The work enhances developer experience and maintainability while aligning with project standards and best practices.
February 2025
139 Commits • 34 Features
Feb 1, 2025February 2025 performance summary for luozhongze/Physics-MM: from bootstrapping to a multi-LLM benchmarking platform. Delivered core scaffolding, integrated Gemini and Qwen APIs and benchmarks, established GLM and GPT-based benchmarking scaffolding, expanded documentation, and performed repo hygiene to reduce maintenance overhead and accelerate onboarding and experimentation. The team enabled rapid testing across Gemini, Qwen, Claude, GPT-based paths, and Yi/Grok scaffolds, while cleaning up legacy benches and stale assets to improve reliability and storage across the project.
139 Commits • 34 Features
Feb 1, 2025February 2025 performance summary for luozhongze/Physics-MM: from bootstrapping to a multi-LLM benchmarking platform. Delivered core scaffolding, integrated Gemini and Qwen APIs and benchmarks, established GLM and GPT-based benchmarking scaffolding, expanded documentation, and performed repo hygiene to reduce maintenance overhead and accelerate onboarding and experimentation. The team enabled rapid testing across Gemini, Qwen, Claude, GPT-based paths, and Yi/Grok scaffolds, while cleaning up legacy benches and stale assets to improve reliability and storage across the project.
February 2025
Activity
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Quality Metrics
Correctness96.8%
Maintainability96.6%
Architecture95.8%
Performance95.8%
AI Usage24.0%
Skills & Technologies
Programming Languages
BashCSSHTMLJSONMarkdownPython
Technical Skills
AI Model InteractionAI/MLAI/ML IntegrationAPI DevelopmentAPI IntegrationAPI Key ManagementBackend DevelopmentBenchmarkingCode CleanupCode OrganizationCode RefactoringCommand-line Interface (CLI)Configuration ManagementData ExportData Management
Repositories Contributed To
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